ArticleBMC medical informatics and decision making2023
Leveraging electronic medical records for HIV testing, care, and treatment programming in Kenya-the national data warehouse project.
Article in BMC medical informatics and decision making, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Article
- Maturity assessment of KenyaEMR: advancing digital health solutions through continuous improvement in Kenya.BMC health services research · 2026Article
- Article
- Predicting HIV viral non-suppression in Uganda: development and validation of machine learning and risk stratification models using routine EMR data.Frontiers in artificial intelligence · 2026Article
- Machine learning to improve HIV screening using routine data in Kenya.Journal of the International AIDS Society · 2025Article
- Advancements and Challenges in Eliminating Perinatal Transmission of HIV in Sub-Saharan Africa: A Comprehensive Analysis.AIDS research and treatment · 2025Review
- Article
- Reforming Uganda's digital health data systems: A policy analysis for inclusive, equitable, and decolonised data governance.Digital healthReview
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Authors and funding
15 authors.
Funding
Abstract
backgroundAggregate electronic data repositories and population-level cross-sectional surveys play a critical role in HIV programme monitoring and surveillance for data-driven decision-making. However, these data sources have inherent limitations including inability to respond to public health priorities in real-time and to longitudinally follow up clients for ascertainment of long-term outcomes. Electronic medical records (EMRs) have tremendous potential to bridge these gaps when harnessed into a centralised data repository. We describe the evolution of EMRs and the development of a centralised national data warehouse (NDW) repository. Further, we describe the distribution and representativeness of data from the NDW and explore its potential for population-level surveillance of HIV testing, care and treatment in Kenya. MAIN BODY: Health information systems in Kenya have evolved from simple paper records to web-based EMRs with features that support data transmission to the NDW. The NDW design includes four layers: data warehouse application programming interface (DWAPI), central staging, integration service, and data visualization application. The number of health facilities uploading individual-level data to the NDW increased from 666 in 2016 to 1,516 in 2020, covering 41 of 47 counties in Kenya. By the end of 2020, the NDW hosted longitudinal data from 1,928,458 individuals ever started on antiretroviral therapy (ART). In 2020, there were 936,869 individuals who were active on ART in the NDW, compared to 1,219,276 individuals on ART reported in the aggregate-level Kenya Health Information System (KHIS), suggesting 77% coverage. The proportional distribution of individuals on ART by counties in the NDW was consistent with that from KHIS, suggesting representativeness and generalizability at the population level.
conclusionThe NDW presents opportunities for individual-level HIV programme monitoring and surveillance because of its longitudinal design and its ability to respond to public health priorities in real-time. A comparison with estimates from KHIS demonstrates that the NDW has high coverage and that the data maybe representative and generalizable at the population-level. The NDW is therefore a unique and complementary resource for HIV programme monitoring and surveillance with potential to strengthen timely data driven decision-making towards HIV epidemic control in Kenya. DATABASE LINK: ( https://dwh.nascop.org/ ).
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